scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis.
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| Title: | scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis. |
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| Authors: | Lan, Wei1 (AUTHOR) lanwei@gxu.edu.cn, Ling, Tongsheng1 (AUTHOR), Chen, Qingfeng1 (AUTHOR), Zheng, Ruiqing2 (AUTHOR), Li, Min2 (AUTHOR), Pan, Yi3 (AUTHOR) |
| Source: | PLoS Computational Biology. 12/18/2024, Vol. 20 Issue 12, p1-18. 18p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 181734829 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lan%2C+Wei%22">Lan, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lanwei@gxu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ling%2C+Tongsheng%22">Ling, Tongsheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Qingfeng%22">Chen, Qingfeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Ruiqing%22">Zheng, Ruiqing</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Min%22">Li, Min</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pan%2C+Yi%22">Pan, Yi</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 12/18/2024, Vol. 20 Issue 12, p1-18. 18p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=181734829 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1012679 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Titles: – TitleFull: scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lan, Wei – PersonEntity: Name: NameFull: Ling, Tongsheng – PersonEntity: Name: NameFull: Chen, Qingfeng – PersonEntity: Name: NameFull: Zheng, Ruiqing – PersonEntity: Name: NameFull: Li, Min – PersonEntity: Name: NameFull: Pan, Yi IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 12 Text: 12/18/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 20 – Type: issue Value: 12 Titles: – TitleFull: PLoS Computational Biology Type: main |
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